Research Article
Dynamic Nonparametric Random Forest Using Covariance
(1) procedure COVCALCULATION() | (2) if == then | (3) for all do | (4) Count either , or from the return | (5) value of Test4Classification(, ); | (6) end for | (7) = /(+); | (8) = /(+); | (9) = F_Measure(, ); | (10) ; | (11) else | (12) for all do | (13) for all do | (14) Count either , or from the return | (15) value of Test4Classification(, ); | (16) end for | (17) end for | (18) = /(+); | (19) = /(+); | (20) = F_Measure(, ); | (21) ; | (22) ; | (23) = cov(, ); | (24) end if | (25) return | (26) end procedure |
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